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SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 5 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
IPCO
2008
118views Optimization» more  IPCO 2008»
15 years 5 months ago
Constraint Orbital Branching
Orbital branching is a method for branching on variables in integer programming that reduces the likelihood of evaluating redundant, isomorphic nodes in the branch-and-bound proce...
James Ostrowski, Jeff Linderoth, Fabrizio Rossi, S...
LREC
2008
90views Education» more  LREC 2008»
15 years 5 months ago
A Text-based Query Interface to OWL Ontologies
Accessing structured data in the form of ontologies requires training and learning formal query languages (e.g., SeRQL or SPARQL) which poses significant difficulties for non-expe...
Danica Damljanovic, Valentin Tablan, Kalina Bontch...
ICML
2010
IEEE
15 years 5 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
113
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IJES
2008
130views more  IJES 2008»
15 years 3 months ago
Deriving efficient control in Process Networks with Compaan/Laura
: At Leiden Embedded Research Center (LERC), we are building a tool chain called Compaan/Laura that allows us to map rapidly and efficiently signal processing applications written ...
Steven Derrien, Alexandru Turjan, Claudiu Zissules...